Results 61 to 70 of about 707 (201)
Review of Fault Detection Methods in Microgrids: From Conventional to Innovative Perspective
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.The increasing global energy demand and the limitations of conventional resources have intensified the need for flexible, reliable, and sustainable energy solutions, highlighting the importance of microgrids. This study presents a comprehensive review of fault detection and management methods in microgrids, comparing traditional, signal processing ...
Mehmet Hasir +2 more
wiley +1 more source
Synchrosqueezed Curvelet Transform for Two-Dimensional Mode Decomposition [PDF]
SIAM Journal on Mathematical Analysis, 2014 This paper introduces the synchrosqueezed curvelet transform as an optimal tool for two-dimensional mode decomposition of wavefronts or banded wave-like components. The syn- chrosqueezed curvelet transform consists of a generalized curvelet transform with application depen- dent geometric scaling parameters, and a synchrosqueezing technique for a ...
Haizhao Yang, Lexing Ying
openaire +1 more source
Application and Evolution for Neural Network and Signal Processing in Large-Scale Systems
Complexity, 2021 Low frequency oscillation is an important attribute of human brain activity, and the amplitude of low frequency fluctuation (ALFF) is an effective method to reflect the characteristics of low frequency oscillation, which has been widely used in the ...
Dongbao Jia +7 more
doaj +1 more source
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.ABSTRACT This paper provides a comprehensive examination of the evolving protection challenges within DC microgrids powered by renewable resources and energy storage systems. It begins by delineating the methodological framework of conventional protection, critically assessing schemes based on current, voltage, and impedance to expose their limitations
Mohamed Elmadawy +7 more
wiley +1 more source
, 2021 This research presents a new method for detecting obsessive-compulsive disorder (OCD) based on time-frequency analysis of multi-channel electroencephalogram (EEG) signals using the multi-variate synchrosqueezing transform (MSST).
ÖZEL, PINAR, Olamat, Ali, AKAN, AYDIN
core +1 more source
Results in Engineering, 2023 Most gesture recognition studies based on surface electromyography (sEMG) signals focus on filtering, in which the lack of diversity for considered noises can still be the problem.
Chuanjiang Li +4 more
doaj +1 more source
IET Signal Processing, Volume 2026, Issue 1, 2026.The burst‐like and high‐amplitude characteristics of impulsive noise, which markedly differ from those of Gaussian noise, render methods based on the Gaussian assumption unable to accurately characterize signals under impulsive noise. Moreover, when dealing with multicomponent signal, existing impulsive noise suppression methods inevitably introduce ...
Weiwei Shang +3 more
wiley +1 more source
IET Science, Measurement &Technology, Volume 20, Issue 1, January/December 2026.This study uses chaotic synchronisation and fractal analysis of acoustic partial discharge signals in 25‐kV cable joints. Extracted 3D error trace features combined with a neural network enable accurate, noise‐robust defect recognition, effectively distinguishing different cable joint defect types with high reliability and ease of implementation ...
Feng‐Chang Gu, Sen‐Fu Chan
wiley +1 more source
Analysis of Synchrosqueezed Transforms and Application Perspectives
, 2022 High-resolution time-frequency (TF) analysis plays crucial role in characterizing multicomponent signal (MCSs) and estimating oscillatory properties. Linear time-frequency representations (TFRs) such as classical short-time Fourier transform (STFT) and continuous wavelet transform (CWT) incur constrained TF resolution and energy diffusion in both time ...
openaire +2 more sources
Synchrosqueezed Wave Packet Transform for 2D Mode Decomposition [PDF]
SIAM Journal on Imaging Sciences, 2013 This paper introduces the synchrosqueezed wave packet transform as a method for analyzing two-dimensional images. This transform is a combination of wave packet transforms of a certain geometric scaling, a reallocation technique for sharpening phase space representations, and clustering algorithms for modal decomposition.
Haizhao Yang, Lexing Ying
openaire +1 more source